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Not really interested in a manufactured fight with you. Apple could be the leader in digital assistants. Apple could show the world what they can actually do. But sure. Alexa isn’t perfect and Amazon abandons things regularly so why bother with Siri. Genius take.
Spot on! With Siri and the broader Apple ecosystem, it is mind blowing how little innovation they've brought to market. Basically they've got cute colorful speakers and a half baked Home app. It's surprising given how huge Apple is and how much money they've got stashed.
 
A bunch of them jumped ship not long after Apple acquired the company.
I’m actually a bit annoyed that Siri took over at all in the first place. I remember the pre-Siri voice dictation and voice commands working really well, but that could be me misremembering?
 
I'm genuinely curious about something: do people actually want this? Like, I'm not talking about your uber-geek user, I'm talking about regular people who do regular things with these devices and drive 99% of sales.

I more often than not find that whenever discussing the majority of 'features' on things like iPhones, that the majority of people really don't give a ****. Even if it's a 'neat' feature that they might get some benefit out of, most people react with a very 'meh' response and tend to not end up using that feature, even after learning about it, or just plain forgetting about it 'cause it's not something they have any real use for.

Not only that but on a personal level, I almost always find the 'helpful' features that utilise some sort of predictive assistance, to be intrusively annoying and counterproductive to whatever I'm doing. They often require extraneous steps to work around and I end up turning them off or, if I can't, feeling like I'm having to learn it as opposed to it learning me.

But hey, I'm sure this will justify another price increase in the future so, yay for stock owners?

I think it's mind boggling how some 12 years after its debut, Siri is still marginally better than that launch day with Steve Jobs. How large is that team? What have they been doing for over a decade?

Not a terribly in-depth or sophisticated look at this issue but informative nonetheless:

 
I almost always find the 'helpful' features that utilise some sort of predictive assistance, to be intrusively annoying and counterproductive
A lot of them, yes. I can't speak for the broader populace, but for example the latest in-line text predictions must have had a good amount of pushback considering Apple had to add an option to disable it. It's horribly distracting. Another big annoyance is whatever 'smart' cursor selection they started using. Something it takes 5+ taps to get the cursor to select what I want, if I even can, to the point where I will exclusively use the spacebar cursor instead of trying to tap into text.
 
I am very skeptical and contemptuous toward Apple on AI. I look down on Apple for it, and I look down on Apple's executives, developers, engineers, and marketers. But I am invested in the Apple ecosystem and overall I still like Apple more than other companies. So I keep hoping. Apple keeps letting me down. But I keep hoping. Nothing Apple does will make up for all the wasted years. At this point there is no excitement and anticipation, but only resignation. But I have thrown in my lot on this side, and it has not gotten so bad that I have to switch, since other companies are even worse to me. And so I keep hoping.
 
Current generative AI and LLM tools are largely unreliable, and don't even do all that much, while simultaneously plagarising, devaluing creative work, and wasting ungodly amounts of resources.
As a regular user of Stable Diffusion, I find it woefully incapable of creating anatomically correct living things. It is embarrassingly bad in that regard.

ChatGPT is fun to play with but I have yet to find a real use for it.

I'm sure some coders want LLMs to do all the brute coding for them, and for now I suspect that is the real practical use of LLMs.

I had an acquaintance/co-worker who was playing with neural nets over three decades ago, for investment purposes. He did pretty well with his investments and I think he became financially comfortable from them.

We all know why the business world wants AI today:
1) to reduce or eliminate labor costs;
2) to somehow magically predict the markets and become incredibly rich.

I find it hard to believe that "AI" will not end terribly for humanity.
 
As a regular user of Stable Diffusion, I find it woefully incapable of creating anatomically correct living things. It is embarrassingly bad in that regard.

ChatGPT is fun to play with but I have yet to find a real use for it.

I'm sure some coders want LLMs to do all the brute coding for them, and for now I suspect that is the real practical use of LLMs.

I had an acquaintance/co-worker who was playing with neural nets over three decades ago, for investment purposes. He did pretty well with his investments and I think he became financially comfortable from them.

We all know why the business world wants AI today:
1) to reduce or eliminate labor costs;
2) to somehow magically predict the markets and become incredibly rich.

I find it hard to believe that "AI" will not end terribly for humanity.

I haven't found much use for LLM AI either. I have used it to help make some Excel macros, but that's about it. I can write emails quite comfortably without help, and I don't code, so need for help there.

It's a novelty that got boring real quick.
 
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I more often than not find that whenever discussing the majority of 'features' on things like iPhones, that the majority of people really don't give a ****. Even if it's a 'neat' feature that they might get some benefit out of, most people react with a very 'meh' response and tend to not end up using that feature, even after learning about it, or just plain forgetting about it 'cause it's not something they have any real use for.
That's been my experience as well.
 
I can write emails quite comfortably without help
I suppose some forgetful spouse, who suddenly remembers today is their anniversary, can tell super-AI to write out a love letter to the other spouse, make it into a fancy card, and have it hand delivered with some flowers tonight.
 
As a regular user of Stable Diffusion, I find it woefully incapable of creating anatomically correct living things. It is embarrassingly bad in that regard.

ChatGPT is fun to play with but I have yet to find a real use for it.

I'm sure some coders want LLMs to do all the brute coding for them, and for now I suspect that is the real practical use of LLMs.

I had an acquaintance/co-worker who was playing with neural nets over three decades ago, for investment purposes. He did pretty well with his investments and I think he became financially comfortable from them.

We all know why the business world wants AI today:
1) to reduce or eliminate labor costs;
2) to somehow magically predict the markets and become incredibly rich.

I find it hard to believe that "AI" will not end terribly for humanity.
I've played around with most of the major ones and some of the more niche ones. I've tried getting functional excel formulas, generating some swift code and explaining how it works (I'm not a developer but trying to learn a bit of swift for fun), creating outlines for documents, revising documents, drafting or modifying emails, etc.

The results were always hit-or-miss and even when it did do the thing I asked, it rarely did anything that actually improved on what I already had.

These are tools for people who don't care about quality of output, the only goal is for them (or their employees) to do more in less time and with less skill. How good that end result is feels inconsequential.
 
Coming soon to destroy the battery life and performance of your existing iPhones!
Why do you think the “neural” hardware is there? Whatever power cost this will have has already been baked into the hardware, for several generations now too.
 
The way it can work is to make Siri more functional. find faces in your photos?, forget it. Never works.
 
I just hope they've put a little more thought into whatever they're doing than Google, MSFT, and others. Current generative AI and LLM tools are largely unreliable, and don't even do all that much, while simultaneously plagarising, devaluing creative work, and wasting ungodly amounts of resources.

Yeah, my thoughts exactly. I've no interest in novelty AI. I've played with ELIZA, it was fun, I'm over it.

I think it's crazy to apply that much compute power to autocorrect a document, but even crazier to do it just because you need it in your investor slide deck.
 
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